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Compare Atlan and Collibra 
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At a Glance
Market Segments
Mid-Market (90.1% of reviews)
Enterprise (100.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Atlan
Star Rating
(118)4.5 out of 5
Market Segments
Mid-Market (90.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about AtlanCollibra
Star Rating
(97)4.2 out of 5
Market Segments
Enterprise (100.0% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about CollibraSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Collibra excels in Data Lineage with a score of 8.1, while Atlan shines even brighter with a score of 9.2, indicating that Atlan provides more comprehensive tracking of data flow and transformations.
- Reviewers mention that Atlan's Ease of Use is significantly higher at 9.0 compared to Collibra's 8.1, suggesting that Atlan's interface and user experience are more intuitive and user-friendly.
- G2 users highlight that Atlan offers superior Quality of Support with a score of 9.3, while Collibra's score of 8.2 indicates that users may find Atlan's customer service more responsive and helpful.
- Users on G2 report that Collibra's Data Modeling capabilities score 7.6, which is higher than Atlan's 6.4, suggesting that Collibra may provide more robust tools for data structure design.
- Reviewers mention that Atlan's Data Discovery features are rated at 9.5, outperforming Collibra's 8.3, indicating that Atlan may offer more effective tools for identifying and understanding data assets.
- Users say that Atlan's Compliance Management features score 8.5, while Collibra's score of 8.0 shows that Atlan may provide more comprehensive tools for ensuring data compliance and governance.
Pricing
Entry-Level Pricing
Atlan
No pricing availableCollibra
No pricing availableFree Trial
Atlan
No trial information availableCollibra
Free Trial is available
Ratings
Meets Requirements
8.6
102
8.3
82
Ease of Use
9.0
102
8.0
84
Ease of Setup
9.2
75
7.7
63
Ease of Admin
8.9
72
8.0
63
Quality of Support
9.3
98
8.1
84
Has the product been a good partner in doing business?
9.5
73
8.7
64
Product Direction (% positive)
9.5
100
9.3
81
Features by Category
Data Governance
8.6
38
7.5
6
8.2
25
6.7
6
9.3
43
7.7
8
Data Preparation
9.1
43
7.7
8
7.1
26
6.4
7
6.7
23
Feature Not Available
6.5
22
Feature Not Available
Collaboration
8.5
34
7.6
7
8.1
35
7.7
8
9.2
42
8.1
8
9.3
41
7.7
8
Artificial Intelligence
Feature Not Available
7.1
7
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Generative AI
6.7
8
Not enough data
6.9
8
Not enough data
Agentic AI - Machine Learning Data Catalog
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
6.4
29
7.3
51
7.2
32
Feature Not Available
7.4
34
7.7
60
7.0
31
6.8
58
Management
9.3
48
8.4
52
9.5
48
8.3
48
7.5
37
7.3
40
7.3
38
6.9
46
9.2
48
7.8
48
Compliance
8.4
33
7.7
46
8.6
37
7.7
51
8.4
34
7.4
45
6.9
27
7.6
41
Security
8.1
41
7.6
41
8.7
39
7.8
48
8.5
32
7.7
35
Data Quality
6.7
24
7.2
36
6.5
24
Feature Not Available
6.6
24
7.5
37
Maintainence
7.5
34
6.7
36
7.9
35
7.5
40
Generative AI
5.8
19
5.7
5
6.3
19
5.7
5
Agentic AI - Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
8.7
13
Not enough data
7.6
9
Not enough data
8.2
13
Not enough data
8.5
11
Not enough data
8.3
11
Not enough data
8.2
16
Not enough data
8.3
15
Not enough data
8.3
7
Not enough data
8.2
10
Not enough data
8.8
8
Not enough data
7.3
8
Not enough data
8.6
17
Functionality
Not enough data
8.1
7
Not enough data
7.4
7
Not enough data
6.4
6
Not enough data
7.9
7
Not enough data
6.4
7
Functionality
Not enough data
8.1
12
Not enough data
8.3
12
Not enough data
6.3
10
Not enough data
6.7
11
Not enough data
6.5
10
Not enough data
6.5
11
Not enough data
7.4
11
Not enough data
8.2
14
Not enough data
7.6
13
Not enough data
7.8
13
Agentic AI - Sensitive Data Discovery
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
8.3
5
Not enough data
9.3
5
Not enough data
7.3
5
Not enough data
8.3
5
Not enough data
Analytics
Not enough data
Not enough data
Security
6.7
5
Not enough data
8.3
5
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
8.8
21
Not enough data
9.3
36
Not enough data
8.9
34
Not enough data
8.6
28
Not enough data
Agentic AI - DataOps Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
8.4
22
Not enough data
8.0
18
Not enough data
Monitoring and Management
8.5
27
Not enough data
7.4
11
Not enough data
Cloud Deployment
7.4
13
Not enough data
7.4
11
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data management
9.2
69
8.4
33
8.6
57
7.4
29
8.6
65
7.8
30
9.2
67
7.7
34
8.9
67
8.2
28
Reporting
7.3
36
7.5
27
7.4
36
7.7
25
7.2
40
7.7
33
Generative AI
6.7
21
Not enough data
6.3
21
Not enough data
Agentic AI - SAP Store
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
7.6
9
Not enough data
7.2
9
Not enough data
8.6
6
Not enough data
8.0
9
Functionality
7.6
17
8.3
17
6.9
15
8.0
15
7.3
15
8.3
14
6.8
15
7.1
13
7.5
16
7.9
14
Management
7.2
20
7.3
18
7.7
20
7.8
15
7.5
18
8.1
14
7.7
19
7.3
19
8.0
21
8.3
18
Generative AI
6.4
11
Not enough data
7.0
11
Not enough data
Categories
Categories
Shared Categories
Atlan and Collibra are categorized as Active Metadata Management, Data Fabric, Data Governance, Machine Learning Data Catalog, and Data Quality
Unique Categories
Atlan is categorized as DataOps Platforms
Collibra is categorized as SAP Store, Sensitive Data Discovery, Privacy Impact Assessment (PIA), Data Subject Access Request (DSAR), and Data Privacy Management
Reviews
Reviewers' Company Size
Atlan
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Collibra
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Financial Services
27.4%
Information Technology and Services
11.6%
Computer Software
10.5%
Insurance
8.4%
Real Estate
5.3%
Other
36.8%
Financial Services
14.5%
Pharmaceuticals
10.5%
Banking
10.5%
Telecommunications
7.9%
Retail
5.3%
Other
51.3%
Most Helpful Reviews
Atlan
Most Helpful Favorable Review
Verified User in Information Technology and Services
1. End-to-end view of data lineage across our whole data lifecycle: Atlan perfectly integrates with large parts of our tool stack (Snowflake, DBT, Tableau, Salesforce, Fivetran), which gives us great transparency into our data flows & structures. Especially...
Most Helpful Critical Review
Sudarshan C.
Verified User in Financial Services
Documentations especially the API documentations provided. Support needs to ease up more Some features are not automated, but they are constantly adding more features and more value to the solution
Collibra
Most Helpful Favorable Review
Pratyusha M.
Verified User in Retail
Flexibility and housing of different types of data in one place
Most Helpful Critical Review
Hana R.
Verified User in Human Resources
The system is cumbersome and often slows down work instead of streamlining it. Roles and responsibilities are unclear, so too many people are pulled into reviews, which dilutes accountability. Approvals get stuck in bottlenecks, and integration with other...
Verified User in Information Technology and Services
1. End-to-end view of data lineage across our whole data lifecycle: Atlan perfectly integrates with large parts of our tool stack (Snowflake, DBT, Tableau, Salesforce, Fivetran), which gives us great transparency into our data flows & structures. Especially...
Pratyusha M.
Verified User in Retail
Flexibility and housing of different types of data in one place
Sudarshan C.
Verified User in Financial Services
Documentations especially the API documentations provided. Support needs to ease up more Some features are not automated, but they are constantly adding more features and more value to the solution
Hana R.
Verified User in Human Resources
The system is cumbersome and often slows down work instead of streamlining it. Roles and responsibilities are unclear, so too many people are pulled into reviews, which dilutes accountability. Approvals get stuck in bottlenecks, and integration with other...
Alternatives
Discussions
Atlan has no discussions with answers
What is Critical data elements? How to identify CDE.
2 Comments
JS
There are a variety of criteria that may determine a data element to be critical. These criteria may include (but are not limited to) the following:
1)...Read more
Collibra has no more discussions with answers
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